Manufacturing Cost Modeling for Product Design

2001 ◽  
pp. 315-325 ◽  
Author(s):  
Angela Locascio
Keyword(s):  
Product Design ◽  
Cost Modeling ◽  
Manufacturing Cost

Simultaneous Tolerance Synthesis for Manufacturing and Quality using Evolutionary Algorithms

2011 ◽  
Vol 2 (2) ◽  
pp. 1-20 ◽  
Author(s):  
Y. S. Rao ◽  
C. S. P. Rao ◽  
G. Ranga Janardhana ◽  
Pandu R. Vundavilli
Keyword(s):  
Evolutionary Algorithms ◽  
Product Design ◽  
Manufacturing Industry ◽  
Tolerance Allocation ◽  
Manufacturing Cost ◽  
Quality Loss ◽  
Mechanical Assembly ◽  
Swarm Optimization ◽  
Single Objective

Tolerance plays a major role in the manufacturing industry, as it affects product design, manufacturing, and quality of the product. This paper considers product design, manufacturing, and quality simultaneously, and introduces a concurrent approach for tolerance allocation using evolutionary algorithms. A non-linear model that minimizes the combination of manufacturing cost and quality loss simultaneously, in a single objective function has been considered. In the proposed work, evolutionary algorithms (that is, Genetic Algorithms (GA), Differential Evolution (DE), and Particle Swarm Optimization (PSO)) have been used to determine the optimal tolerances at the minimum manufacturing and quality loss cost. The application of the proposed methodology has been demonstrated on a simple mechanical assembly.

Concurrent Design and Manufacturing for Mechanical Systems

1999 ◽  
Author(s):  
Kuang-Hua Chang ◽  
Javier Silva ◽  
Ira Bryant
Keyword(s):  
Decision Making ◽  
Product Development ◽  
Product Design ◽  
Development Process ◽  
Product Performance ◽  
Product Development Process ◽  
Concurrent Design ◽  
Manufacturing Cost ◽  
Design Decision ◽  
Design And Manufacturing

Abstract Conventional product development process employs a design-build-break philosophy. The sequentially executed product development process often results in a prolonged lead-time and an elevated product cost. The proposed concurrent design and manufacturing (CDM) process employs physics-based computational methods together with computer graphics technique for product design. This proposed approach employs Virtual Prototyping (VP) technology to support a cross-functional team analyzing product performance, reliability, and manufacturing cost early in the product development stage; and conducting quantitative trade-off for design decision making. Physical prototypes of the product design are then produced using Rapid Prototyping (RP) technique primarily for design verification purposes. The proposed CDM approach holds potential for shortening the overall product development cycle, improving product quality, and reducing product cost. A software tool environment that supports CDM for mechanical systems is being built at the Concurrent Design and Manufacturing Research Laboratory (http://cdm.ou.edu) at the University of Oklahoma. A snap shot of the environment is illustrated using a two-stroke engine example. This paper presents three unique concepts and methods for product development: (i) bringing product performance, quality, and manufacturing cost together in early design stage for design considerations, (ii) supporting design decision-making through a quantitative approach, and (iii) incorporating rapid prototyping for design verification through physical prototypes.

Industrial Design and its Relation to Machine Design

1951 ◽  
Vol 164 (1) ◽  
pp. 177-194 ◽  
Author(s):  
H. G. Conway
Keyword(s):  
Product Design ◽  
Industrial Design ◽  
Machine Design ◽  
Manufacturing Cost ◽  
New Materials ◽  
Technical Literature ◽  
General Process ◽  
Last Stage ◽  
And Performance ◽  
The Moment

The paper deals with improvement in “machine” design in relation to function (specification, durability, and performance), manufacturing cost (processing, redesign, and collaboration with suppliers), and styling. Conscious attempts at improvement in appearance should, in the author's opinion, be the last stage in the general process of improved machine design. In regard to styling the author stresses the importance of appearance, the functions of the specialist “industrial” designer dealing with appearance and utility in co-operation with the “mechanical” designer, and the need for training of engineering designers in “composition” (by which is meant “what not to do” rather than creative artistry, which springs perhaps from an intuitive rather than an instructed apprehension). Incidentally, the need to consider the buyers' tastes of the moment is the greater for products that do not outlast contemporary fashions. Improvement in product design may be brought about by the employment of specialist consultants (who are in continual contact with new materials and ideas); by managements' readiness to improve, and to encourage, rather than frustrate, the creative instinct in designers and engineers; by team concentration upon redesign of particular machines; by training young engineers to be product-conscious; and by the introduction of non-specialist technical literature dealing with design in the broadest sense and with the exploitation of new materials and processes.

Manufacturing Cost Modeling of Castings Produced with CRIMSON Process

2014 ◽  
pp. 201-208 ◽  
Author(s):  
Binxu Zeng ◽  
Mark Jolly ◽  
Konstantinos Salonitis
Keyword(s):  
Cost Modeling ◽  
Manufacturing Cost

Fundamental Strategies for System Optimization of Machine Product Designs

2008 ◽  
Author(s):  
Masataka Yoshimura ◽  
Yu Yoshimura ◽  
Kazuhiro Izui ◽  
Shinji Nishiwaki
Keyword(s):  
Machine Tool ◽  
Product Design ◽  
Optimization Problem ◽  
System Optimization ◽  
Systematic Evaluation ◽  
Hierarchical Optimization ◽  
Manufacturing Cost ◽  
Construct Optimization ◽  
Effective System ◽  
Over Time

In machine product designs, a variety of characteristics such as product performances, manufacturing cost, and robustness of characteristics are evaluated, and the need for improvements is increasingly stringent over time. Such characteristics almost always have interrelationships, and systematic evaluation and optimization must be performed to obtain preferable product design solutions. To conduct effective system optimization, the complex interrelationships among characteristics that are included, and sometimes hidden, in the optimization problem, must be understood and dealt with. To construct optimization methodologies for such problems, these relationships must be clarified, and the characteristics simplified. Simplifying the characteristics makes the essence of the optimization problem clearer, and facilitates examining the interrelationships among the simplified characteristics during the optimization process. Based on the simplified characteristics, “priority relationships”, i.e., relationships among simplified characteristics that will be optimized first, and “conflicting relationships”, i.e., tradeoff relationships that will be simultaneously optimized, are obtained. Hierarchical optimization procedures develop naturally as the relationships among the simplified characteristics are clarified. This paper focuses on the priority relationships of characteristics in system optimization procedures. General and specific rules concerning priority relationships are presented, and these form the basis for the constructed optimization procedures. An applied example of a machine tool product design is presented to demonstrate the effectiveness of the proposed methodology.

Concurrent Design Implementing Aesthetic Factors

1998 ◽  
Author(s):  
Masataka Yoshimura ◽  
Hisaichi Yanagi
Keyword(s):  
Product Design ◽  
Optimum Design ◽  
Design Method ◽  
Design Solution ◽  
Concurrent Design ◽  
Manufacturing Cost ◽  
Product Price ◽  
Minimum Ratio

Abstract In order to obtain product designs which maximize their appeal to users, a concurrent product design method is proposed in which aesthetic factors are implemented during conventional product design. Subjective attributes, corresponding to aesthetic factors, are evaluated concurrently with analytically obtained objective attributes of the product’s characteristics. The interaction of these subjective and objective attributes, as it relates to the product’s utility and manufacturing cost, is clarified. Then, the solution which has the minimum ratio of manufactured cost relative to the user’s expected product price is selected as the optimum design solution. Applied examples pertaining to robot designs are given, to demonstrate these methodologies.

Simultaneous Tolerance Synthesis for Manufacturing and Quality using Evolutionary Algorithms

2013 ◽  
pp. 54-72
Author(s):  
Y. S. Rao ◽  
C. S. P. Rao ◽  
G. Ranga Janardhana ◽  
Pandu R. Vundavilli
Keyword(s):  
Evolutionary Algorithms ◽  
Product Design ◽  
Manufacturing Industry ◽  
Tolerance Allocation ◽  
Manufacturing Cost ◽  
Quality Loss ◽  
Mechanical Assembly ◽  
Swarm Optimization ◽  
Single Objective

Tolerance plays a major role in the manufacturing industry, as it affects product design, manufacturing, and quality of the product. This paper considers product design, manufacturing, and quality simultaneously, and introduces a concurrent approach for tolerance allocation using evolutionary algorithms. A non-linear model that minimizes the combination of manufacturing cost and quality loss simultaneously, in a single objective function has been considered. In the proposed work, evolutionary algorithms (that is, Genetic Algorithms (GA), Differential Evolution (DE), and Particle Swarm Optimization (PSO)) have been used to determine the optimal tolerances at the minimum manufacturing and quality loss cost. The application of the proposed methodology has been demonstrated on a simple mechanical assembly.

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